Big Data Analytics Using Splunk by Peter Zadrozny & Raghu Kodali

Big Data Analytics Using Splunk by Peter Zadrozny & Raghu Kodali

Author:Peter Zadrozny & Raghu Kodali
Language: eng
Format: epub
Publisher: Apress, Berkeley, CA


From this point on Splunk will take care of updating the summary on a regular basis in the background so that we will not even notice. The first time the summary is created immediately, but it can take a while to complete. To know if the summary is done you can go to the “Report Accelerations Summaries” page of the Manager in the user interface. In Figure 10-19 you will see under the title “Summary Status” that the summary for our report is complete. If it were in the process of updating the summary with the most recent information it would specify the amount of processing it has completed as a percentage. The “Summarization Load” is an important metric as it reflects the effort that Splunk has put into updating the summary. The bigger this number is, the more processing was involved. However, be aware that the calculation is based on the amount of time it takes to update the summary and how often it happens. For a report as ours, which will be updated every month the number will be very low. As a matter of fact, in Figure 10-31 you can see that the number is 0.00004 as it has not been updated for the last few weeks.

Figure 10-31. Report Acceleration Summary



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